

Results-driven QA Engineer with a proven track record in translating complex business and technical requirements into actionable test cases, ensuring comprehensive validation of data flows and end-to-end testing across distributed systems. Expertise in API testing using Postman and the ability to design robust test plans that enhance product quality. Proficient in Agile/Scrum methodologies and defect management through JIRA, leveraging AI technologies to optimize test scripts and data frameworks for superior product releases. Committed to delivering high-quality outcomes that align with organizational goals and drive continuous improvement.
- Led a team of five QA engineers in planning, designing, and executing comprehensive end-to-end testing for Salesforce implementations across Sales Cloud, Service Cloud, and CPQ modules.
- Validated Salesforce data integration processes—including data sources, extraction logic, transformation rules, and data loading accuracy—across ETL tools such as Data Loader.
- Performed API testing for Salesforce using Postman.
- Drove end-to-end testing for new implementations, enhancements, and integrations, ensuring business requirements were accurately translated into functional outcomes.
- Ensured test coverage and traceability through requirement mapping and the use of tools like JIRA, Zephyr, or TestRail.
- Performed comprehensive API testing for Khatabook’s financial, onboarding, and transaction services using Postman, and Swagger ensuring reliability, accuracy, and high performance of microservices.
- Tested case management, assignment rules, and email-to-case configurations to ensure timely and accurate customer support operations.
- Leveraged AI-driven tools to accelerate test case generation, script optimization, and test-data creation, improving productivity and test coverage.
- Checked API responses, data formats, and integration workflows to confirm that they met business and technical requirements.
Product vision and roadmap planning